Not specified
Senior Hardware Engineer (Camera, Lidar, Radar)
- Location
- San Francisco, United States
- Work type
- On-site · Full-time
- Posted
- (2 months ago)
About the role
Own and support the sensors on our next-generation autonomous trucks, from selection and characterization through placement, commissioning, and on-vehicle validation. You will define what "good" means for every camera, lidar, radar, microphone, and INS on the truck, prove it in the lab and in the field, and be the person Perception and Autonomy come to when sensor data does not look right.
Key Responsibilities
- Write and own sensor requirements. Make them testable, tie each one to an autonomy or safety need, and defend the rationale in cross-functional reviews.
- Run field of view, coverage, and occlusion studies for a Class 8 tractor-trailer. Quantify blind zones, cross-modality overlap, and trailer articulation effects, and use that analysis to drive sensor placement decisions.
- Characterize remote-sensing systems, including camera, lidar, radar, microphone, IMU, and GNSS: resolution, SNR, dynamic range, latency and jitter, point density, range and reflectivity, detection and false alarm rates, angular accuracy, bias and drift.
- Own sensor commissioning and bring-up, including procedures, automation, qualification tests, diagnostics, and drive improvements for repeatability and throughput.
- Design and build test setups and test benches. Experience with measurement tools, power supplies, t-slot rail, power distribution, and bracket design preferred.
- Support testing, evaluation, federation, and continued operation of vehicles, sensors, and vehicle platforms.
- Support data collection, automation, review, and analysis for bench and on-vehicle tests, for characterization, failure analysis, reliability estimation, systems analysis, and performance modeling.
- Work directly with Autonomy and Software to turn perception needs into measurable sensor KPIs, and with Hardware on mounts, enclosures, harnessing, power, thermal, and networking.
- Lead root cause analysis on sensor issues from bring-up, DV, and on-vehicle operation, and close the loop into specs and design changes.
Minimum Qualifications
Preferred Qualifications
Compensation
As part of the interview process, we may use Artificial Intelligence (AI) tools to compare your qualifications and experience to the job description. A human reviews all AI output and makes a final hiring decision. Humble Robotics does not rely on the output to make any employment decisions. Some applicants may have a legal right to opt-out of the use of AI as part of our interview process. Contact legal@humblerobotics.ai to exercise this right or if you have further questions on the use of AI tools in our hiring process.
Humble Robotics is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristics protected by law. Humble Robotics will consider qualified applicants with arrest and conviction records in a manner consistent with local ordinances.